What is Tableau CRM (CRM Analytics)? A Full Guide

Tableau CRM is a cutting-edge analytics solution which is meant to aid companies in the process of turning data into insights. Seamlessly working with Salesforce, it provides the possibility to effortlessly spot trends, create performance through visuals, and thus make data-driven decisions. This blog will delve into how it operates, its major traits, and the significance it has for the contemporary market players.

Table of contents

1) What is Tableau CRM?

2) Benefits of Tableau

3) Tableau and Tableau CRM: What's the Difference?

4) How to use Tableau CRM for Your Business?

5) How does Tableau CRM get the Data?

6) Tableau CRM Terms Explained

7) What are the Three Types of Tableau?

8) What Skills are Needed for Tableau?

9) Conclusion

What is Tableau CRM?

Tableau CRM is an analytics tool integrated into Salesforce that merges data handling, visual display, and forecasting insights. It binds together data from different places and permits users to evaluate and distribute the outcome simultaneously. Employing dataflows and Einstein Discovery as the primary tools in data management not only makes cleaning easier but also offers predictions that can lead to more competent decisions.

It gives power to groups to see patterns, predict results and review effectiveness in an easy way. Built for business users, it quietly combines analytics with daily routine for more intelligent and quicker decision-making.

Benefits of Tableau

Here are a few main benefits of Tableau:

1) Improved Data Analysis and Visualisation

Tableau within Salesforce allows you to create interactive dashboards and worksheets that display your data clearly and engagingly. You can spot patterns and trends that were hidden before easily and use them to make smarter decisions throughout the sales cycle. Whether you need to track prospecting, pipeline coverage, account management, or any other aspect of your business, Tableau can help you visualise it all.

2) Enhanced Analytical Ability

Salesforce Tableau CRM has a user-friendly interface that lets anyone access and analyse data without technical skills. You can use Tableau to explore your data from different perspectives and discover insights that can drive better outcomes for your company. Tableau also helps you share your findings with others across the organisation and align your goals with the company vision.

3) Seamless Data Integration

Data integration is another key feature of Salesforce Tableau CRM. Leveraging CRM Analytics, it overcomes the limitations of Salesforce alone when combining data from different sources. Tableau can seamlessly blend data from various modules into one chart or dashboard. This way, you can have a holistic view of your pipeline growth and marketing engagements at any time, regardless of where they come from.

4) Flexible Knowledge

Sharing Salesforce reporting is based on Salesforce data only, which means it cannot be used as a standard tool for all departments in the company. It also has some data restrictions that may not suit your needs. Conversely, Tableau has no data limitations, so it can be used as a common language for all stakeholders in the organisation. You can use Tableau to create relevant reports for finance, operations, or executive teams and share them easily across platforms.

5) Increased Productivity

Salesforce with Tableau leverages Salesforce’s rich customer data and brings analytics to life for every individual in the organisation. Collecting department reports on one page can save time and get an updated analysis of different customer segments. You can also access the data on your system or mobile devices anytime and anywhere, making it easier to understand the data at any moment.

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Tableau and Tableau CRM: What’s the Difference?

Tableau is a leading data visualisation platform offering various products for different needs. Tableau CRM is one of these products, and it has some unique features that make it suitable for companies that use Salesforce as their CRM system. Here are some of the main differences between Tableau and Tableau CRM:

a) Tableau is a standalone platform that can be installed on-premises or hosted in the cloud. It allows users to create creative and interactive dashboards and worksheets that display data from various sources. Users need a license to access Tableau dashboards, regardless of their location. Tableau is ideal for companies that want a comprehensive BI solution that can handle remote and federated queries.

b) Tableau CRM is a product within the Tableau platform that integrates with Salesforce CRM. It enables users to embed AI and Machine Learning features into their reporting and CRM using Einstein Analytics. It also provides templated apps that can be customised to meet specific analytics needs using Salesforce data. Users can access Tableau CRM dashboards directly from Salesforce and perform actions based on the analytics results.

How to use Tableau CRM for Your Business?

Tableau CRM is a product that connects to Salesforce and external data from one place to provide AI-powered insights and recommendations for better business outcomes. Some of the ways to use Tableau CRM are:

a) Pipeline Analytics: This is a feature that helps sales teams manage their pipeline, forecast revenue, and optimise performance. Pipeline Analytics allows users to create dashboards and reports that show key metrics such as pipeline health, conversion rates, win rates, and deal size. Users can also drill down into the details of each opportunity, stage, and account to identify risks and opportunities. Pipeline Analytics also leverages AI to provide predictive and prescriptive guidance on the best actions to take, such as which deals to focus on, which products to cross-sell, and which discounts to offer.

b) Service Analytics: This is a feature that helps service teams to improve customer satisfaction, retention, and loyalty. Service Analytics enables users to monitor and analyse key service metrics such as case volume, resolution time, customer effort score, and satisfaction score. Users can also explore the root causes of customer issues, identify trends and patterns, and discover areas for improvement. Service Analytics also uses AI to provide proactive and personalised solutions for customers, such as recommending the best channel, agent, and offer for each case.

c) B2B Marketing Analytics: This is a feature that helps marketing teams measure and optimise their campaigns, programs, and channels. B2B marketing analytics allows users to track and visualise the performance of their marketing activities, such as email, web, social, and events. Users can also segment and profile their leads and accounts, understand their buyer journey, and calculate their return on investment. B2B marketing analytics also applies AI to generate insights and recommendations for marketers, such as which campaigns to prioritise, which content to create, and which audiences to target.

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How does Tableau CRM get the Data?

There are several options for leading data into Tableau CRM using connectors. You can connect data to external applications, databases, and data warehouses, or to any application outside or inside your Salesforce org.

The various connectors help to bring your data into one place so you can analyse and share it with any Salesforce user. If your organisation handles sensitive data, you can make sure that the objects and fields holding that information are not being extracted to Tableau CRM.

Tableau CRM Terms Explained

Tableau CRM is a product that integrates with Salesforce CRM and allows you to create and share interactive dashboards and worksheets that display your data clearly and engagingly. Tableau CRM uses some terminology that may be unfamiliar to you at first. Here are five terms that you need to know:

1) App

An app is the core component of Tableau CRM. It is like a folder in Salesforce reporting, as it can store multiple items, such as lenses, dashboards, and datasets. You can create different apps for different projects, departments, or teams and control who can access them.

2) App Template

An app template is a prebuilt analytics app for some common use cases and departments using Salesforce. It is useful for companies new to Tableau CRM and want to see some quick results immediately.

App templates are generic and have few customisations in their Salesforce environment. They also provide an overview of the insights you can see and the Salesforce objects that drive them. This helps you understand the questions your dashboard can help answer.

3) Dashboard

A dashboard is similar to a native Salesforce dashboard in its structure but much more powerful in functionality. A dashboard comprises charts, metrics, and tables showing your data insights. Tableau CRM dashboards have additional features like Interactions, Faceting, and Filtering that help you explore your data from different perspectives.

4) Dataset

A dataset collects relevant data stored in a denormalised form to optimise interactive exploration. This format improves query speed and performance, as it does not require normalisation or data deduplication (as some Salesforce reports do). You can also combine different data sources into a single dataset to ensure your data is consistent.

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5) Lens

A lens is similar to a native Salesforce report in terms of its purpose but more flexible in design. A lens is used to explore the datasets you have built for specific business needs. You can save lenses separately or add them to dashboards to tell a story across multiple lenses and data sources.

What are the Three Types of Tableau?

Tableau has introduced three main products, which cater to different types of companies: Tableau Desktop, Tableau Server, and Tableau Cloud. Each product is a separate tool that supports the users in analysing, sharing, and managing data in an environment of their choice that is efficient.

With Tableau Desktop, users can create visual representations of the data and reports, while Tableau Server provides a secure on-premises setup for organisations to share and manage analytics, and Tableau Cloud, a hosted, web-based platform, offers the same functionalities. They form a trio of solutions that together provide flexibility, collaboration, and accessibility for all types of users.

What Skills are Needed for Tableau?

For the successful use of Tableau, professionals have to possess solid data preparation skills, for example, connecting sources, understanding data structures, and data cleaning. Knowledge of SQL and data modelling supports in creating accurate and trustworthy datasets. These technical skills become the basis for the generation of powerful visualisations and dashboards.

Analytical and visual communication skills are also crucial. The users are to decipher data, create intuitive dashboards, and transfer insights that push decisions. The integration of these with business comprehension and design sensitivity results in insights that are both actionable and visually attractive.

Conclusion

Tableau CRM allows companies to transform complicated data into understandable and actionable insights for better decision-making. The connection with Salesforce guarantees the uninterrupted accessibility to analytics that are real-time all the time. By mixing AI, automating, and visualising, it secures the teams' confidence in making growth their agenda.

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